376 to 400 of 2,571 Remote Machine Learning Jobs

forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise;knowledge … Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability ...

title - AI & ML Systems Engineer Our client, a Cambridge based AI and ML Consultancy have an opportunity for an AI & ML Systems Engineer to join them. The role is mainly remote working with only one day per week when the AI/ML Engineer is required to be on site … client is willing to consider each application depending on number of years' experience About the role: Our client is seeking a versatile AI/ML & Systems Engineer to lead the architecture, machine learning development, and cloud integration for a next-generation asset monitoring and predictive platform. In this ...

share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus … learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end‐to‐end training pipeline. Leverage state ...

grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe.We’re looking for a senior ML leader to help shape that next phase.You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence ...

grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe.We’re looking for a senior ML leader to help shape that next phase.You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across … advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence ...

Vacancy detailSenior AI/ML Engineer90,000 - 110,000 GBPNo Hybrid WORKINGLocation: UK wide , Central London, Greater London – United Kingdom Type: PermanentSenior AI Engineer – London (Remote)We're looking for an experienced AI Engineers to lead the next generation of AI-powered learning experiences. You'll play a pivotal … defining our AI strategy, architecting scalable solutions, and bringing innovative products to millions of learners.This is an opportunity to join a fast-growing online learning platform where your work will directly influence how people develop new skills, advance their careers, and achieve their goals.The RoleAs an AI Engineer ...

lifecycle of AI product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best … processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks ...

Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performanceWhat You’ll BringMust-haves:3+ years of experience developing and deploying ML systems in real-world or production settingsPhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related fieldDeep … simulation systemsFamiliarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)Experience with sim-to-real transfer or data-efficient learningContributions to open-source ML tools or research infrastructureWhat we offer you Attractive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

including proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing).Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps).Experience with large language models (LLMs), generative AI techniques, or agentic … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data).Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent).Why join us We’re committed to supporting leaders who want to make ...

proficiency in modern programming languages and software development practices (e.g., version control, CI/CD, automated testing). Hands-on experience delivering AI or machine learning solutions at scale, including model development, deployment, and ongoing operations (MLOps). Experience with large language models (LLMs), generative AI techniques … applications in operational, trading, or engineering domains (e.g., optimisation, forecasting, natural language interfaces to enterprise data). Formal training or certification in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, or equivalent). Why join us? Were committed to supporting leaders who want ...

controlsKnowledge of enterprise AI governance, including model risk management, explainability, bias detection, safety, and regulatory compliance Additionnal qualifications12+ years of experience in AI/ML engineering, AI infrastructure, platform engineering, data engineering, or related fields, with a track record of delivering complex production systems at scaleProven experience architecting …/ML platforms across data pipelines, training, deployment, serving, monitoring, and inference optimizationExperience designing and operating GPU-based AI infrastructure, including accelerated compute platforms, workload scheduling, utilization optimization, capacity management, and performance tuningExperience with cloud-native and Kubernetes-based platforms supporting training, batch workloads, inference, orchestration, observability, reliability, and cost ...

seeking an experienced and adaptable machine learning (ML) and artificial intelligence (AI) engineering professional to join a nimble and best‐in‐class data team at The Beatport Group. The role will report to the Director of Intelligence Engineering and will share in the ownership and delivery of cutting … edge, scalable ML/AI models. Initial Workstreams Recommendations and personalization Search optimization Audio modeling As a Senior ML & AI Engineer, you will be responsible for: Developing and implementing ML and AI based solutions to enhance and optimize the Beatport customer experience, including semantic search, content recommendation/personalization engines ...

term, obtain stakeholder buy in, and translate problems in the business into actionable research objectives. You'll collaborate and work with all aspects of ML and cybersecurity, across a large enterprise and complex data problems in size (trillions of events a day), asperity, and the dynamic nature of an active … support staff and budget planning, and disseminate key milestones to the business leaders.Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systemsStay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoptionCollaborate with cross-functional teams including security research, engineering ...

future of music is SoundCloud.We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals … full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love. You'll own features end-to-end: from understanding user needs with Product ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product ...

Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy.The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired … technical challenges and long-term opportunities available.Senior Computer Vision Engineer roleYou will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers.This is a hands-on engineering role for someone comfortable working across research ...

excited by technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical, healthcare or scientific computing domain, including model selection for productisation Exceptional interpersonal ...

time, at our Manchester Westminster House office. What you'll be doing Are you interested in the automotive industry and how data, insight and machine learning are shaping the future of vehicle finance? We're looking for a Residual Value Model Delivery Manager to join our Transport division … residual value forecasting capability. Working across Residual Value Development, Pricing, Data Science and Risk, you'll play a key role in delivering a new machine learning-led forecasting model that supports better commercial decisions and risk management. You'll help translate business requirements into analytical solutions, support model ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML … teams by enabling efficient data loading, dataset management, and cloud-based training workflows. You'll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data ...

validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will … evidence that is applied to decision making in drug development programs. Translate business questions into analytical problems and build solutions using visualization techniques, dashboards, machine and deep learning, and statistical modelling. Search and develop new algorithms, methods, statistical models and business models, providing insight into structured and unstructured ...

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth click apply ...

Machine Learning Engineer to support delivery and operationalisation of advanced AI solutions for our Kingfisher brands. You will help build scalable ML systems, ensuring models run in live environments. Join a high-performing engineering team collaborating with product and architecture to accelerate AI adoption across B&Q, Screwfix ...

often side‐by‐side with them on‐site) to embed cutting‐edge AI models into tools that are useful and used. You’ve shipped ML systems end‐to‐end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate … will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You’ll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments. ...